Fuzzy power management for environmental monitoring systems in tropical regions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092134" target="_blank" >RIV/61989100:27240/14:86092134 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985807:_____/14:00430491

Výsledek na webu

<a href="http://dx.doi.org/10.1109/IJCNN.2014.6889844" target="_blank" >http://dx.doi.org/10.1109/IJCNN.2014.6889844</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IJCNN.2014.6889844" target="_blank" >10.1109/IJCNN.2014.6889844</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fuzzy power management for environmental monitoring systems in tropical regions

Popis výsledku v původním jazyce

Remote environmental monitoring systems require effective energy management to allow reliable long-term operation without frequent maintenance to replace or recharge batteries. To design and analyze relevant energy management strategies, we have developed Simulink-based models of a recently constructed monitoring device to evaluate its potential performance. The model uses long-term solar energy data from two locations, Chamela, Mexico, and Fairview, Canada, to estimate the energy harvesting capabilities of the device. Using the simulator, we have developed and evaluated a fuzzy energy management strategy that determines how the device should operate to match the solar energy profile in each location. Solar energy in Chamela, Mexico is abundant and consistent so an energy harvesting remote monitoring device could have a high activity level without risking device failure. Fairview, Canada, has limited solar resources in the winter but plenty in the summer; a device dependent upon this e

Název v anglickém jazyce

Fuzzy power management for environmental monitoring systems in tropical regions

Popis výsledku anglicky

Remote environmental monitoring systems require effective energy management to allow reliable long-term operation without frequent maintenance to replace or recharge batteries. To design and analyze relevant energy management strategies, we have developed Simulink-based models of a recently constructed monitoring device to evaluate its potential performance. The model uses long-term solar energy data from two locations, Chamela, Mexico, and Fairview, Canada, to estimate the energy harvesting capabilities of the device. Using the simulator, we have developed and evaluated a fuzzy energy management strategy that determines how the device should operate to match the solar energy profile in each location. Solar energy in Chamela, Mexico is abundant and consistent so an energy harvesting remote monitoring device could have a high activity level without risking device failure. Fairview, Canada, has limited solar resources in the winter but plenty in the summer; a device dependent upon this e

Druh

D - Stať ve sborníku

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the International Joint Conference on Neural Networks

ISBN

978-1-4799-1484-5

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

1719-1726

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

New York

Místo konání akce

Beijing

Datum konání akce

6. 7. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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